Share data treatment and analysis processes inTechnology enhanced learning

Abstract : In the context of our research team (multidisciplinary with numerous and various TEL systems), we have been working during the last three years on the design and implementation of an open platform to collect, save and share experimental data drawn from the interaction with TEL systems, which could build, save and share analysis processes executed on these data. From our point of view both data and analysis processes are worth to be stored and shared, and moreover have to be joined in a unique repository to get the whole picture. This communication presents the analysis processes part of the project. Sharing analysis processes, i.e. the whole complex process, is rather unusual, whereas contemporary platforms or software already propose generic algorithms to work on data (for instance with a statistical point of view or a data mining point of view). Hence, we attempt to model the main concepts of global treatments for experimental data analysis in order to collect, execute, save and then share them in a platform, dedicated to TEL Systems. The execution part is the most difficult and constraining part of our work. This needs to be implemented with a complex architecture. An important part of the communication is so devoted to the description of the architecture, and to the link between the global point of view of the whole process and the local point of view of elementary or specific algorithms used during the process. A short, but realistic, example of application of our platform is given, with the definition of a global process and the definition of an elementary algorithm used in the global process. The process is executed on real data leading to a graphical display of results, which are then briefly analyzed.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-00948796
Contributor : Denis Bouhineau <>
Submitted on : Sunday, March 16, 2014 - 11:53:12 AM
Last modification on : Wednesday, September 18, 2019 - 1:32:34 AM
Long-term archiving on : Monday, June 16, 2014 - 10:51:50 AM

File

onAnalysisProcess_BouhineauEtA...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00948796, version 1

Collections

Citation

Denis Bouhineau, Sébastien Lalle, Vanda Luengo, Nadine Mandran, Michael Ortega, et al.. Share data treatment and analysis processes inTechnology enhanced learning. Workshop Data Analysis and Interpretation for Learning Environments, 2013, Autrans, France. ⟨hal-00948796⟩

Share

Metrics

Record views

760

Files downloads

218